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  • Applied Machine Learning

Applied Machine Learning Courses

Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.


Popular Applied Machine Learning Courses and Certifications


  • D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build & Optimize TensorFlow ML Workflows

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Y

    Yale University

    Introduction to Psychology

    Skills you'll gain: Psychology, Human Development, Clinical Psychology, Mental Health, Psychiatry, Human Learning, Child Development, Neurology, Culture, Social Sciences, Critical Thinking, Scientific Methods, Problem Solving

    4.9
    Rating, 4.9 out of 5 stars
    ·
    33K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    TradeStation EasyLanguage for Algorithmic Trading

    Skills you'll gain: Financial Trading, Artificial Intelligence, Market Trend, Machine Learning Methods, Technical Analysis, Algorithms, Securities Trading, Futures Exchange, Portfolio Risk, Risk Management, Model Evaluation, Market Data, Machine Learning Algorithms, Machine Learning, Data Validation, Trend Analysis, Performance Analysis, Statistical Programming, Scripting Languages, Finance

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Responsible AI, Data Warehousing, Data Ethics, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Personalization, Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Build & Evaluate NLP Transformer Pipelines

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Applied Machine Learning, Performance Metric, Quality Assessment

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Network Model, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Matlab, Mathematical Modeling, Computational Thinking, Recurrent Neural Networks (RNNs), Applied Mathematics, Physiology, Biology, Linear Algebra, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, ChatGPT, AI Product Strategy, AI Security, Artificial Intelligence, Automation, Cloud Applications, Social Impact

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5K reviews

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Microsoft Azure, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Natural Language Processing, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    978 reviews

    Advanced · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    IA Para Todos (Español)

    Skills you'll gain: Market Opportunities, AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Architecting with Google Compute Engine

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Kubernetes, Infrastructure As A Service (IaaS), Containerization, Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58K reviews

    Intermediate · Specialization · 3 - 6 Months

  • S

    SkillUp

    Data Science for Healthcare

    Skills you'll gain: Forecasting, Classification Algorithms, Dimensionality Reduction

    Intermediate · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular applied machine learning courses

  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Build & Optimize TensorFlow ML Workflows: Coursera
  • Introduction to Psychology : Yale University
  • TradeStation EasyLanguage for Algorithmic Trading: Packt
  • Generative AI for Data Engineers: IBM
  • Build & Evaluate NLP Transformer Pipelines: Coursera
  • Computational Neuroscience: University of Washington
  • Generative AI for Everyone: DeepLearning.AI
  • Developing AI Applications on Azure: LearnQuest
  • IA Para Todos (Español): DeepLearning.AI

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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